Triple
T3854468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMA |
E85378
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | Oman Air |
E14353
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oman Air | Statement: [OMA, assignedTo, Oman Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oman Air Context triple: [OMA, assignedTo, Oman Air]
-
A.
Oman Air
chosen
Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
-
B.
Oman Aviation Group
Oman Aviation Group is a state-owned holding company in Oman that oversees and coordinates the country’s aviation sector, including its national airline and related aviation services.
-
C.
Gulf Air
Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
-
D.
Air Arabia
Air Arabia is a low-cost airline based in the United Arab Emirates, known for operating budget-friendly flights across the Middle East, North Africa, Asia, and Europe.
-
E.
Jazeera Airways
Jazeera Airways is a Kuwaiti low-cost airline based in Kuwait that operates regional and international flights across the Middle East, Asia, and Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec05ec4c8190bd5e5463163712dc |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5041c7250819093b2743afeb6e36c |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.